Paper Citation Record · LEDGER

Artificial Kuramoto Oscillatory Neurons

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2410.13821.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.13821 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:02:37.533083Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T20:30:07.755382Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0130047b-1918-4095-9f25-e47536c79e1b · inbound

Traveling Waves Integrate Spatial Information Through Time cites this paper.

Traveling Waves Integrate Spatial Information Through Time Artificial Kuramoto Oscillatory Neurons

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T17:02:37.533083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cdbbfdf-d794-4404-853d-a58c58f47c57 · inbound

Sudoku-Bench: Evaluating creative reasoning with Sudoku variants cites this paper.

Sudoku-Bench: Evaluating creative reasoning with Sudoku variants Artificial Kuramoto Oscillatory Neurons

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:29.413797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecb7413e-e86e-4876-bf1b-7dbec71b3a93 · inbound

GASPnet: Global Agreement to Synchronize Phases cites this paper.

GASPnet: Global Agreement to Synchronize Phases Artificial Kuramoto Oscillatory Neurons

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:09:39.156194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcf18fa7-c4c5-410d-a1da-f749edb87630 · inbound

Solving Sudoku using oscillatory neural networks cites this paper.

Solving Sudoku using oscillatory neural networks Artificial Kuramoto Oscillatory Neurons

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T05:11:11.841754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0db284a9-7607-4770-973d-f50dd699b081 · inbound

Designing learning in high dimensional oscillator networks with low dimensional read-out cites this paper.

Designing learning in high dimensional oscillator networks with low dimensional read-out Artificial Kuramoto Oscillatory Neurons

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T13:17:42.993966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fa72caf-ae88-4fa8-8bbb-89475b36b3e4 · inbound

Global synchronization beyond dense graphs: the case of threshold graphs cites this paper.

Global synchronization beyond dense graphs: the case of threshold graphs Artificial Kuramoto Oscillatory Neurons

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T22:08:28.545922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cadcdfd3-21d3-423a-99ca-23756e1cc188 · inbound

Understanding LoRA as Knowledge Memory: An Empirical Analysis cites this paper.

Understanding LoRA as Knowledge Memory: An Empirical Analysis Artificial Kuramoto Oscillatory Neurons

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:10:13.225886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 64244864-9bbd-4d50-86d9-bedc58493c40 · inbound

Understanding LoRA as Knowledge Memory: An Empirical Analysis cites this paper.

Understanding LoRA as Knowledge Memory: An Empirical Analysis Artificial Kuramoto Oscillatory Neurons

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T19:49:45.359086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92554105-fa67-4b7c-8d74-b989a3c615bf · inbound

An explicit operator explains end-to-end computation in the modern neural networks used for sequence and language modeling cites this paper.

An explicit operator explains end-to-end computation in the modern neural networks used for sequence and language modeling Artificial Kuramoto Oscillatory Neurons

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:44:14.909373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c3cb6b5-e020-4d53-8d77-4a8c21c5713e · inbound

Demystifying Manifold Constraints in LLM Pre-training cites this paper.

Demystifying Manifold Constraints in LLM Pre-training Artificial Kuramoto Oscillatory Neurons

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:16:08.449352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation adde4de4-76e5-442c-b7c5-8930d700cefa · inbound

Spontaneous symmetry breaking and Goldstone modes for deep information propagation cites this paper.

Spontaneous symmetry breaking and Goldstone modes for deep information propagation Artificial Kuramoto Oscillatory Neurons

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T14:25:46.905903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 510c7893-b9c3-46c6-91b3-5f7b7b424698 · inbound

Exact expression for maximum Lyapunov exponent during transients in computationally powerful dynamical networks cites this paper.

Exact expression for maximum Lyapunov exponent during transients in computationally powerful dynamical networks Artificial Kuramoto Oscillatory Neurons

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-21T01:19:20.821439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 06805f9b-99d4-4cab-9f27-a857adb5634b · inbound

Formalizing the Binding Problem cites this paper.

Formalizing the Binding Problem Artificial Kuramoto Oscillatory Neurons

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:06:29.823128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 38f1eefc-1cc3-497e-bd45-0a0519159b32 · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Artificial Kuramoto Oscillatory Neurons

Reference 135

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:30:07.757045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a7cbeb80-fb3c-40f0-86b1-dee640f15e80 · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Artificial Kuramoto Oscillatory Neurons

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T10:14:09.825720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c68fb96-85ae-4775-9c0f-f9aaa44598f8 · inbound

Generative Models on Analog Hardware with Dynamics cites this paper.

Generative Models on Analog Hardware with Dynamics Artificial Kuramoto Oscillatory Neurons

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:49:56.476034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 03dc02da-47f2-441f-a5cd-5d865cd9e5dd · inbound

Graph Coloring Approach to Solving Sudoku with Oscillatory Neural Networks cites this paper.

Graph Coloring Approach to Solving Sudoku with Oscillatory Neural Networks Artificial Kuramoto Oscillatory Neurons

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T22:21:29.595357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.